Literature DB >> 15885499

Gene expression profiling of dysplastic differentiation in cervical epithelial cells harboring human papillomavirus 16.

Daya G Ranamukhaarachchi1, Elizabeth R Unger, Suzanne D Vernon, Daisy Lee, Mangalathu S Rajeevan.   

Abstract

Molecular events occurring with high-risk human papillomavirus (HPV)-associated dysplastic differentiation of cervical epithelial cells are largely unknown. This study used differential display PCR to identify expression changes between nondifferentiating monolayer and differentiated organotypic (raft) cultures of W12 keratinocytes. These cells were originally derived from a clinical biopsy of HPV 16-positive dysplastic cervical epithelium and retain high-risk HPV 16 and the ability to differentiate, albeit with dysplastic morphology. Using this model system we identified 84 genes with changed expression during dysplastic differentiation. Most (70/84, approximately 80%) were down-regulated with differentiation, consistent with a restriction of expression during terminal differentiation. Twenty-two genes had no known function and 6 novel expressed sequence tags were identified among this group. Of the 62 genes with known functions, 25 belonged to transcription-, translation-, and posttranslation-related categories and 30 had functions associated with neoplastic initiation/progression, calcium signaling, epithelial differentiation, and structure remodeling. Some of the genes with altered expression identified in this model of dysplastic differentiation may be useful biomarkers for early detection of cervical neoplasia and other HPV-associated oropharyngeal and anogenital cancers.

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Year:  2005        PMID: 15885499     DOI: 10.1016/j.ygeno.2005.02.008

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  3 in total

1.  Identification of a 7-gene signature that predicts relapse and survival for early stage patients with cervical carcinoma.

Authors:  Long Huang; Min Zheng; Qing-Ming Zhou; Mei-Yin Zhang; Yan-Hong Yu; Jing-Ping Yun; Hui-Yun Wang
Journal:  Med Oncol       Date:  2012-01-25       Impact factor: 3.064

2.  Gene expression profile of cervical tissue compared to exfoliated cells: impact on biomarker discovery.

Authors:  Martin Steinau; Daisy R Lee; Mangalathu S Rajeevan; Suzanne D Vernon; Mack T Ruffin; Elizabeth R Unger
Journal:  BMC Genomics       Date:  2005-05-05       Impact factor: 3.969

3.  BAG3 down-modulation sensitizes HPV18(+) HeLa cells to PEITC-induced apoptosis and restores p53.

Authors:  Roberta Cotugno; Anna Basile; Elena Romano; Dario Gallotta; Maria Antonietta Belisario
Journal:  Cancer Lett       Date:  2014-08-28       Impact factor: 8.679

  3 in total

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